Emotions are a critical aspect of daily life and serve a crucial role in human decision-making,
planning, reasoning, and other mental states. As a result, they are considered a significant …

Emotions are closely related to human behavior, family, and society. Changes in emotions
can cause differences in electroencephalography (EEG) signals, which show different …

Nowadays, many deep models have been presented to recognize emotions using
electroencephalogram (EEG) signals. These deep models are computationally intensive, it …

The dynamic uncertain relationship among each brain region is a necessary factor that limits
EEG-based emotion recognition. It is a thought-provoking problem to availably employ time …

Abstract Automatic Emotion Recognition (AER) is critical for naturalistic Human–Machine
Interactions (HMI). Emotions can be detected through both external behaviors, eg, tone of …

Nowadays, emotion recognition using electroencephalogram (EEG) signals is becoming a
hot research topic. The aim of this paper is to classify emotions of EEG signals using a novel …

As the most direct way to measure the true emotional states of humans, EEG-based emotion
recognition has been widely used in affective computing applications. In this paper, we aim …

The purpose of this research is to use a cross-dataset approach to construct an EEG-based
emotion recognition system. So far, numerous modeling strategies for emotion recognition …

Emotions are distinct reactions to internal or external events with implications for the
organism. Automatic emotion recognition is a demanding task for pattern recognition and a …

Background and objective We are living in the pandemic age, and many educational
institutions have shifted to a distance education system to ensure learning continuity while at …